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Han YJ, Hu SQ, Zhu JH, Cai X, Lai DM, Chen BH, Zhu K, Tong Q, Zhou XR, Deng JL, Tou JF, Fang Z, Du LZ. Accurate prediction of biliary atresia with an integrated model using MMP-7 levels and bile acids. World J Pediatr 2024; 20:822-833. [PMID: 38141111 PMCID: PMC11402860 DOI: 10.1007/s12519-023-00779-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 11/05/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND Biliary atresia (BA) is a rare fatal liver disease in children, and the aim of this study was to develop a method to diagnose BA early. METHODS We determined serum levels of matrix metalloproteinase-7 (MMP-7), the results of 13 liver tests, and the levels of 20 bile acids, and integrated computational models were constructed to diagnose BA. RESULTS Our findings demonstrated that MMP-7 expression levels, as well as the results of four liver tests and levels of ten bile acids, were significantly different between 86 BA and 59 non-BA patients (P < 0.05). The computational prediction model revealed that MMP-7 levels alone had a higher predictive accuracy [area under the receiver operating characteristic curve (AUC) = 0.966, 95% confidence interval (CI): 0.942, 0.989] than liver test results and bile acid levels. The AUC was 0.890 (95% CI 0.837, 0.943) for liver test results and 0.825 (95% CI 0.758, 0.892) for bile acid levels. Furthermore, bile levels had a higher contribution to enhancing the predictive accuracy of MMP-7 levels (AUC = 0.976, 95% CI 0.953, 1.000) than liver test results. The AUC was 0.983 (95% CI 0.962, 1.000) for MMP-7 levels combined with liver test results and bile acid levels. In addition, we found that MMP-7 levels were highly correlated with gamma-glutamyl transferase levels and the liver fibrosis score. CONCLUSION The innovative integrated models based on a large number of indicators provide a noninvasive and cost-effective approach for accurately diagnosing BA in children. Video Abstract (MP4 142103 KB).
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Affiliation(s)
- Yi-Jiang Han
- Department of Neonatal Surgery, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Shu-Qi Hu
- Department of Neonatal Surgery, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Jin-Hang Zhu
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, Shanghai, China
| | - Xiao Cai
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, Shanghai, China
| | - Deng-Ming Lai
- Department of Neonatal Surgery, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Bao-Hai Chen
- Department of Information Center, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Kun Zhu
- Department of Pathology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Qiao Tong
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, Shanghai, China
| | - Xin-Rui Zhou
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, Shanghai, China
| | - Jia-Le Deng
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, Shanghai, China
| | - Jin-Fa Tou
- Department of Neonatal Surgery, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
| | - Zhuo Fang
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, Shanghai, China.
| | - Li-Zhong Du
- Department of Neonatology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
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Zhang Y, Li T, Wang T, Ji Q, Zhan J. Comparison for the diagnostic performance of early diagnostic methods for biliary atresia: a systematic review and network meta-analysis. Pediatr Surg Int 2024; 40:146. [PMID: 38822892 DOI: 10.1007/s00383-024-05730-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/23/2024] [Indexed: 06/03/2024]
Abstract
BACKGROUND Biliary atresia (BA), a progressive condition affecting canalicular-bile duct function/anatomy, requires prompt surgical intervention for favorable outcomes. Therefore, we conducted a network meta-analysis of common diagnostic methods to assess their performance and provide evidence-based support for clinical decision-making. METHODS We reviewed literature in PubMed, EMBASE, and Cochrane for BA diagnostics. The search included gamma-glutamyl transferase (GGT), direct/combined bilirubin, matrix metalloproteinase 7 (MMP-7), ultrasonic triangular cord sign (TCS), hepatic scintigraphy (HS), and percutaneous cholangiocholangiography/percutaneous transhepatic cholecysto-cholangiography (PCC/PTCC). QUADAS-2 assessed study quality. Heterogeneity and threshold effect were evaluated using I2 and Spearman's correlation. We combined effect estimates, constructed SROC models, and conducted a network meta-analysis based on the ANOVA model, along with meta-regression and subgroup analysis, to obtain precise diagnostic performance assessments for BA. RESULTS A total of 40 studies were included in our analysis. GGT demonstrated high diagnostic accuracy for BA with a sensitivity of 81.5% (95% CI 0.792-0.836) and specificity of 72.1% (95% CI 0.693-0.748). Direct bilirubin/conjugated bilirubin showed a sensitivity of 87.6% (95% CI 0.833-0.911) but lower specificity of 59.4% (95% CI 0.549-0.638). MMP-7 exhibited a total sensitivity of 91.5% (95% CI 0.893-0.934) and a specificity of 84.3% (95% CI 0.820-0.863). TCS exhibited a sensitivity of 58.1% (95% CI 0.549-0.613) and high specificity of 92.9% (95% CI 0.911-0.944). HS had a high sensitivity of 98.4% (95% CI 0.968-0.994) and moderate specificity of 79.0% (95% CI 0.762-0.816). PCC/PTCC exhibited excellent diagnostic performance with a sensitivity of 100% (95% CI 0.900-1.000) and specificity of 87.0% (95% CI 0.767-0.939). Based on the ANOVA model, the network meta-analysis revealed that MMP-7 ranked second overall, with PCC/PTCC ranking first, both exhibiting superior diagnostic accuracy compared to other techniques. Our analysis showed no significant bias in most methodologies, but MMP-7 and hepatobiliary scintigraphy exhibited biases, with p values of 0.023 and 0.002, respectively. CONCLUSION MMP-7 and ultrasound-guided PCC/PTCC show diagnostic potential in the early diagnosis of BA, but their clinical application is restricted due to practical limitations. Currently, the cutoff value of MMP-7 is unclear, and further evidence-based medical research is needed to firmly establish its diagnostic value. Until more evidence is available, MMP-7 is not suitable for widespread diagnostic use. Therefore, considering cost and operational simplicity, liver function tests combined with ultrasound remain the most clinically valuable non-invasive diagnostic methods for BA.
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Affiliation(s)
- Yanran Zhang
- Clinical School of Paediatrics, Tianjin Medical University, Tianjin, 300400, China
| | - Tengfei Li
- Clinical School of Paediatrics, Tianjin Medical University, Tianjin, 300400, China
| | - Tong Wang
- Tianjin First Central Hospital Clinic Institute, Tianjin Medical University, Tianjin, 300192, China
| | - Qi Ji
- Clinical School of Paediatrics, Tianjin Medical University, Tianjin, 300400, China
| | - Jianghua Zhan
- Department of General Surgery, Tianjin Children's Hospital, Tianjin, 300134, China.
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Ranucci G, Della Corte C, Alberti D, Bondioni MP, Boroni G, Calvo PL, Cananzi M, Candusso M, Clemente MG, D'Antiga L, Degrassi I, De Ville De Goyet J, Di Dato F, Di Giorgio A, Vici CD, Ferrari F, Francalanci P, Fuoti M, Fusaro F, Gaio P, Grimaldi C, Iascone M, Indolfi G, Iorio R, Maggiore G, Mandato C, Matarazzo L, Monti L, Mosca F, Nebbia G, Nuti F, Paolella G, Pinon M, Roggero P, Sciveres M, Serranti D, Spada M, Vajro P, Nicastro E. Diagnostic approach to neonatal and infantile cholestasis: A position paper by the SIGENP liver disease working group. Dig Liver Dis 2022; 54:40-53. [PMID: 34688573 DOI: 10.1016/j.dld.2021.09.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 08/23/2021] [Accepted: 09/12/2021] [Indexed: 12/11/2022]
Abstract
Neonatal and infantile cholestasis (NIC) can represent the onset of a surgically correctable disease and of a genetic or metabolic disorder worthy of medical treatment. Timely recognition of NIC and identification of the underlying etiology are paramount to improve outcomes. Upon invitation by the Italian National Institute of Health (ISS), an expert working grouped was formed to formulate evidence-based positions on current knowledge about the diagnosis of NIC. A systematic literature search was conducted to collect evidence about epidemiology, etiology, clinical aspects and accuracy of available diagnostic tests in NIC. Evidence was scored using the GRADE system. All recommendations were approved by a panel of experts upon agreement of at least 75% of the members. The final document was approved by all the panel components. This position document summarizes the collected statements and defines the best-evidence diagnostic approach to cholestasis in the first year of life.
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Affiliation(s)
- Giusy Ranucci
- Department of Pediatrics, Santobono-Pausilipon Children's Hospital AORN, Naples, Italy
| | - Claudia Della Corte
- Hepatology, Gastroenterology, Nutrition and Liver transplantation Unit, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | | | - Maria Pia Bondioni
- Pediatric Radiology, University of Brescia, ASST Spedali Civili di Brescia, Brescia, Italy
| | | | - Pier Luigi Calvo
- Pediatric Gastroenterology Unit, Regina Margherita Children's Hospital, Azienda Ospedaliera-Universitaria Città della Salute e della Scienza, Turin, Italy
| | - Mara Cananzi
- Unit of Gastroenterology, Digestive Endoscopy, Hepatology and Care of Children with Liver Transplantation, University Hospital of Padova, Padova, Italy
| | - Manila Candusso
- Hepatology, Gastroenterology, Nutrition and Liver transplantation Unit, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | - Maria Grazia Clemente
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Lorenzo D'Antiga
- Hepatology, Gastroenterology and Transplantation Unit, Hospital Papa Giovanni XXIII, Bergamo, Italy
| | - Irene Degrassi
- Service of Paediatric Hepatology, Department of Paediatrics, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Jean De Ville De Goyet
- Pediatric Department for the Treatment and Study of Abdominal Diseases and Abdominal Transplantation, ISMETT UPMC, Palermo, Italy
| | - Fabiola Di Dato
- Department di Translational Medical Science, School of Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Angelo Di Giorgio
- Hepatology, Gastroenterology and Transplantation Unit, Hospital Papa Giovanni XXIII, Bergamo, Italy
| | - Carlo Dionisi Vici
- Division of Metabolism and Metabolic Diseases Research Unit, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | | | - Paola Francalanci
- Department of Pathology, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | - Maurizio Fuoti
- Pediatric Gastroenterology and Endoscopy Unit Children's Hospital, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Fabio Fusaro
- Department of Medical and Surgical Neonatology, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | - Paola Gaio
- Unit of Gastroenterology, Digestive Endoscopy, Hepatology and Care of Children with Liver Transplantation, University Hospital of Padova, Padova, Italy
| | - Chiara Grimaldi
- Division of Abdominal Transplantation and Hepatobiliopancreatic Surgery, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | - Maria Iascone
- Medical Genetics Laboratory, Hospital Papa Giovanni XXIII, Bergamo, Italy
| | - Giuseppe Indolfi
- Department of Pediatrics, Meyer Children's University Hospital, Florence, Italy
| | - Raffaele Iorio
- Department di Translational Medical Science, School of Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Giuseppe Maggiore
- Hepatology, Gastroenterology, Nutrition and Liver transplantation Unit, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | - Claudia Mandato
- Department of Pediatrics, Santobono-Pausilipon Children's Hospital AORN, Naples, Italy
| | | | - Lidia Monti
- Department of Radiology, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | - Fabio Mosca
- Neonatal Intensive Care Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Gabriella Nebbia
- Service of Paediatric Hepatology, Department of Paediatrics, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Federica Nuti
- Service of Paediatric Hepatology, Department of Paediatrics, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giulia Paolella
- Service of Paediatric Hepatology, Department of Paediatrics, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Michele Pinon
- Pediatric Gastroenterology Unit, Regina Margherita Children's Hospital, Azienda Ospedaliera-Universitaria Città della Salute e della Scienza, Turin, Italy
| | - Paola Roggero
- Neonatal Intensive Care Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Marco Sciveres
- Pediatric Hepatology and Liver Transplantation, ISMETT UPMC, Palermo, Italy
| | - Daniele Serranti
- Department of Pediatrics, Meyer Children's University Hospital, Florence, Italy
| | - Marco Spada
- Division of Abdominal Transplantation and Hepatobiliopancreatic Surgery, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | - Pietro Vajro
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana" University of Salerno, Baronissi, Italy
| | - Emanuele Nicastro
- Hepatology, Gastroenterology and Transplantation Unit, Hospital Papa Giovanni XXIII, Bergamo, Italy
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Zhao D, Gu S, Gong X, Li Y, Sun X, Chen Y, Deng Z, Zhang Y. Web-based calculator for biliary atresia screening in neonates and infants with cholestasis. Transl Pediatr 2021; 10:225-235. [PMID: 33708508 PMCID: PMC7944186 DOI: 10.21037/tp-20-170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Distinguishing biliary atresia from non-biliary atresia in patients with cholestasis is challenging, as these conditions have a similar clinical presentation. We developed and externally validated a screening model for biliary atresia and devised a web-based calculator for use in clinical settings. METHODS A screening model was developed based on data from 227 cholestatic infants (82 and 145 with and without biliary atresia, respectively) and validated in 234 infants (90 and 144 with and without biliary atresia, respectively) admitted to three hospitals. Variables were selected from routine examination results using the least absolute shrinkage and selection operator method and entered into a logistic regression model to construct a biliary-atresia-risk-predicting equation. Cutoff values for risk stratification were estimated using model sensitivity, derived from the receiver-operating characteristic curves. RESULTS The final screening model included seven variables (i.e., weight at admission, clay-colored stools, γ-glutamyl transpeptidase and albumin levels at admission, abnormal gallbladder, triangular cord sign, and change in total bilirubin levels). The model generated an area under the curve of 0.94 with a sensitivity of 91.46 and specificity of 86.62 in the derivation cohort. This was confirmed in the validation cohort, as we found an area under the curve of 0.93 with a sensitivity of 93.1 and specificity of 80.15. Patients were stratified into three risk groups (low-, moderate-, and high-risk groups). Biliary atresia was excluded in the low-risk group. The high-risk group showed a higher detection rate of biliary atresia compared to the stool color screening method alone. This model was integrated into a user-friendly web-based system. CONCLUSIONS The screening tool had a high predictive value and may help in decision-making by physicians at tertiary and community hospitals.
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Affiliation(s)
- Dongying Zhao
- Department of Neonatology, Xinhua Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Shengli Gu
- Department of Ultrasound, Xinhua Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Xiaohui Gong
- Department of Neonatology, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yahui Li
- Department of Neonatology, Xinhua Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Xiaoang Sun
- Department of Pediatric Digestive Diseases, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Chen
- Department of Neonatology, Xinhua Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Zhaohui Deng
- Department of Pediatric Digestive Diseases, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongjun Zhang
- Department of Neonatology, Xinhua Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
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Pietrobattista A, Veraldi S, Candusso M, Basso MS, Liccardo D, Della Corte C, Mosca A, Alterio T, Sacchetti E, Catesini G, Deodato F, Boenzi S, Dionisi-Vici C. The contribution of plasma oxysterols in the challenging diagnostic work-up of infantile cholestasis. Clin Chim Acta 2020; 507:181-186. [DOI: 10.1016/j.cca.2020.04.028] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 04/22/2020] [Accepted: 04/24/2020] [Indexed: 12/28/2022]
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Chen Y, Zhao D, Gu S, Li Y, Pan W, Zhang Y. Three-color risk stratification for improving the diagnostic accuracy for biliary atresia. Eur Radiol 2020; 30:3852-3861. [PMID: 32162000 DOI: 10.1007/s00330-020-06751-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 02/10/2020] [Accepted: 02/14/2020] [Indexed: 12/14/2022]
Abstract
OBJECTIVES It is challenging to early differentiate biliary atresia from other causes of cholestasis. We aimed to develop an algorithm with risk stratification to distinguish biliary atresia from infantile cholestasis. METHODS In this study, we enrolled infants with cholestasis into 2 subgroups from January 2010 to April 2019. A prospective cohort (subgroup 2) of 187 patients (107 with biliary atresia and 80 without biliary atresia) underwent acoustic radiation force impulse elastography. Stepwise regression was used to identify significant predictors of biliary atresia. A sequential algorithm with risk stratification was constructed. RESULTS Among 187 patients, shear wave speed > 1.35 m/s and presence of the triangular cord sign were considered high risk for biliary atresia (red), in which 73 of 78 patients (accuracy of 93.6%) with biliary atresia were identified. Afterwards, γ-GT, abnormal gallbladder, and clay stool were introduced into the algorithm and 55 intermediate-risk infants were identified (yellow) with a diagnostic accuracy of 60% for biliary atresia. Of the remaining 54 infants who were classified as low-risk patients (green), the accuracy for excluding biliary atresia was 98.1%. By applying a three-color risk stratification tool, 70.6% patients were identified as either high risk or low risk for biliary atresia (area under the curve, 0.983; sensitivity, 98.7%; specificity, 91.4%). We also estimated the risk of biliary atresia in different color groups, which was 94.7% (95%CI, 94.3-95.5%) in the red group and 7.2% (95%CI, 6.6-8.3%) in the green group. CONCLUSIONS Our simple noninvasive approach was able to identify biliary atresia with high accuracy. KEY POINTS • Five predictors, namely shear wave speed, triangle cord sign, γ-glutamyl transferase, abnormal gallbladder, and clay stool, were selected to identify biliary atresia in cholestasis. • Shear wave speed > 1.35 m/s and presence of the triangle cord sign were considered high-risk patients with a diagnostic accuracy of 93.6% for biliary atresia. • Risk for biliary atresia was high (red), intermediate (yellow), or low (green). In the red and green group, we achieved an extremely high diagnostic performance (area under the curve, 0.983; sensitivity, 98.7%; specificity, 91.4%).
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Affiliation(s)
- Yan Chen
- Department of Neonatology, Xinhua Hospital, Shanghai JiaoTong University School of Medicine, 1665 Kong Jiang Road, Shanghai, 200092, China
| | - Dongying Zhao
- Department of Neonatology, Xinhua Hospital, Shanghai JiaoTong University School of Medicine, 1665 Kong Jiang Road, Shanghai, 200092, China
| | - Shengli Gu
- Department of Ultrasound, Xinhua Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Yahui Li
- Department of Neonatology, Xinhua Hospital, Shanghai JiaoTong University School of Medicine, 1665 Kong Jiang Road, Shanghai, 200092, China
| | - Weihua Pan
- Department of Pediatric Surgery, Xinhua Hospital, Shanghai JiaoTong University School of Medicine, 1665 Kong Jiang Road, Shanghai, 200092, China.
| | - Yongjun Zhang
- Department of Neonatology, Xinhua Hospital, Shanghai JiaoTong University School of Medicine, 1665 Kong Jiang Road, Shanghai, 200092, China.
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Fu HY, Zhao RQ, Bai GL, Yin CL, Yin RK, Li HH, Shi WN, Liu YL, Cheng LJ, Jia XY, Li GG, Zhao SG. [Value of serum gamma-glutamyl transpeptidase combined with direct bilirubin in the diagnosis of biliary atresia in infants]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2019; 21. [PMID: 31874659 PMCID: PMC7389014 DOI: 10.7499/j.issn.1008-8830.2019.12.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
OBJECTIVE To study the value of serum gamma-glutamyl transpeptidase (GGT) combined with direct bilirubin (DB) in the diagnosis of biliary atresia. METHODS A total of 667 infants with cholestasis who were hospitalized and treated from July 2010 to December 2018 were enrolled as subjects. According to the results of intraoperative cholangiography and follow-up, they were divided into biliary atresia group with 234 infants and cholestasis group with 433 infants. The two groups were compared in terms of age of onset, sex, and serum levels of total bilirubin (TB), DB, alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bile acid (TBA), and GGT. A receiver operating characteristic (ROC) curve analysis was performed for indices with statistical significance, and the area under the ROC curve (AUC) and the optimal cut-off value for diagnosis were calculated. RESULTS The biliary atresia group had a significantly younger age of onset than the cholestasis group (P<0.001). There were no significant differences in sex, ALT, and AST between the two groups (P>0.05), while the biliary atresia group had significantly higher serum levels of TB, DB, TBA, and GGT than the cholestasis group (P<0.05). GGT combined with DB had the highest AUC of 0.892 (95% confidence interval: 0.868-0.916) in the diagnosis of biliary atresia. At the optimal cut-off values of 324.0 U/L for GGT and 115.1 μmmol/L for DB, GGT combined with DB had a sensitivity of 79.8% and a specificity of 83.2% in the diagnosis of biliary atresia. CONCLUSIONS GGT combined with DB has high sensitivity and specificity in the diagnosis of biliary atresia and can be used as an effective indicator for diagnosis of biliary atresia in infants.
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Affiliation(s)
- Hai-Yan Fu
- Department of Infectious and Digestive Diseases, Hebei Children's Hospital, Shijiazhuang 050031, China.
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Tsuda N, Shiraishi S, Sakamoto F, Ogasawara K, Tomiguchi S, Yamashita Y. Tc-99m PMT scintigraphy in the diagnosis of pediatric biliary atresia. Jpn J Radiol 2019; 37:841-849. [PMID: 31571132 DOI: 10.1007/s11604-019-00882-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2019] [Accepted: 09/17/2019] [Indexed: 02/04/2023]
Abstract
PURPOSE Hepatobiliary scintigraphy plays an important role in the differentiation of biliary atresia (BA) and non-BA. The usefulness of 99mTc-iminodiacetic acid (IDA) derivatives in BA diagnosis is reported in several papers. In contrast, there are no comprehensive data on differentiating BA from non-BA using 99mTc-N-pyridoxyl-5-methyl-tryptophan (PMT). Our objective was to evaluate the usefulness of 99mTc-PMT scintigraphy in the diagnosis of BA. MATERIALS AND METHODS 52 infants who received 99mTc-PMT scintigraphy for suspected BA were retrospectively evaluated. Preoperative cholangiograms or follow-ups were used as the gold standard for diagnosis of BA. We analyzed the utility of 99mTc-PMT scintigraphy, various clinical and investigational parameters in the diagnosis of BA. RESULTS The final diagnoses in this group were BA (67.3%) and non-BA (32.7%). 99mTc-PMT scintigraphy, stool color change, total bilirubin, direct bilirubin, aspartate aminotransferase (AST) and γ-glutamyl transferase (γ-GTP) led to distinguishing between BA and non-BA in univariate analysis. Subsequent multivariate logistic regression analysis indicated that 99mTc-PMT scintigraphy and γ-GTP were independent predictors of BA. The diagnostic accuracy of 99mTc-PMT scintigraphy was 94.2%. CONCLUSIONS 99mTc-PMT scintigraphy is more accurate in the diagnosis of BA than other conventional examinations. In addition, false positives of 99mTc-PMT scintigraphy could be reduced by combining γ-GTP level monitoring.
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Affiliation(s)
- Noriko Tsuda
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.
| | - Shinya Shiraishi
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Fumi Sakamoto
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Koji Ogasawara
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Seiji Tomiguchi
- Department of Diagnostic Medical Imaging, School of Health Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Yasuyuki Yamashita
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
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